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Java
H5前端
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  • 认知

  • 入门

  • 环境

  • 进阶

  • 框架集成

    • spring-data集成
      • Spring Data
      • Spring Data Elasticsearch
      • 创建maven项目
        • 修改pom
        • 添加配置
        • 添加主程序
        • 添加数据实体类
        • 添加配置类
        • 添加DAO 数据访问层对象
      • 创建索引
      • 删除索引
      • 新增文档
      • 更新文档
      • 通过id查询文档
      • 查询所有文档
      • 删除文档
      • 批量新增文档
      • 分页查询
    • spark-stream集成
    • flink集成
  • 优化

  • 面试题

  • Database-Elasticsearch
  • 框架集成
Shetengteng
2022-02-04

spring-data集成

# Spring Data

Spring Data是一个用于简化数据库、非关系型数据库、索引库访问,并支持云服务的开源框架

  • 主要目标是使得对数据的访问变得方便快捷,并支持 map-reduce框架和云计算数据服务
  • 极大的简化 JPA (Elasticsearch)的写法
  • 可在几乎不用写实现的情况下,实现对数据的访问和操作
  • 除了CRUD 外,还包括如分页、排序等一些常用的功能
  • 官网:https://spring.io/projects/spring-data

Spring Data 常用的功能模块如下

  • Spring Data JDBC
  • Spring Data JPA
  • Spring Data LDAP
  • Spring Data MongoDB
  • Spring Data Redis
  • Spring Data R2DBC
  • Spring Data REST
  • Spring Data for Apache Cassandra
  • Spring Data for Apache Geode
  • Spring Data for Apache Solr
  • Spring Data for Pivotal GemFire
  • Spring Data Couchbase
  • Spring Data Elasticsearch
  • Spring Data Envers
  • Spring Data Neo4j
  • Spring Data JDBC Extensions
  • Spring for Apache Hadoop

# Spring Data Elasticsearch

基于Spring Data API简化 Elasticsearch 操作,将原始操作Elasticsearch 的客户端API进行封装

Spring Data为Elasticsearch 项目提供集成搜索引擎

Spring Data Elasticsearch POJO的关键功能区域为中心的模型与Elastichsearch交互文档和轻松地编写一个存储索引库数据访问层

官方网站: https://spring.io/projects/spring-data-elasticsearch

目前最新 springboot 对应 Elasticsearch7.6.2,Spring boot2.3.x 一般可以兼容 Elasticsearch7.x

版本对比

# 创建maven项目

# 修改pom

<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
         xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>

    <parent>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-parent</artifactId>
        <version>2.6.3</version>
        <relativePath/>
    </parent>

    <groupId>com.stt.demo</groupId>
    <artifactId>es-spring-data</artifactId>
    <version>1.0</version>

    <properties>
        <maven.compiler.source>8</maven.compiler.source>
        <maven.compiler.target>8</maven.compiler.target>
    </properties>
    <dependencies>
        <dependency>
            <groupId>org.projectlombok</groupId>
            <artifactId>lombok</artifactId>
        </dependency>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-data-elasticsearch</artifactId>
        </dependency>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-devtools</artifactId>
            <scope>runtime</scope>
            <optional>true</optional>
        </dependency>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-test</artifactId>
            <scope>test</scope>
        </dependency>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-test</artifactId>
        </dependency>
        <dependency>
            <groupId>junit</groupId>
            <artifactId>junit</artifactId>
        </dependency>
        <dependency>
            <groupId>org.springframework</groupId>
            <artifactId>spring-test</artifactId>
        </dependency>
    </dependencies>
</project>
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# 添加配置

在 resources 目录中增加application.properties文件

# es 服务地址
elasticsearch.host=127.0.0.1
# es 服务端口
elasticsearch.port=9200
# 配置日志级别,开启 debug 日志
logging.level.com.atguigu.es=debug
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# 添加主程序

package com.stt.demo;

import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;

@SpringBootApplication
public class Application {
    public static void main(String[] args) {
        SpringApplication.run(Application.class, args);
    }
}
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# 添加数据实体类

package com.stt.demo;

import lombok.AllArgsConstructor;
import lombok.Data;
import lombok.NoArgsConstructor;
import lombok.ToString;
import org.springframework.data.annotation.Id;
import org.springframework.data.elasticsearch.annotations.Document;
import org.springframework.data.elasticsearch.annotations.Field;
import org.springframework.data.elasticsearch.annotations.FieldType;

@Data
@NoArgsConstructor
@AllArgsConstructor
@ToString
@Document(indexName = "product", shards = 3, replicas = 1)
public class Product {
    //必须有 id,这里的 id 是全局唯一的标识,等同于 es 中的"_id"
    @Id
    private Long id;//商品唯一标识

    /**
     * type : 字段数据类型
     * analyzer : 分词器类型
     * index : 是否索引(默认:true)
     * Keyword : 短语,不进行分词
     */
    @Field(type = FieldType.Text, analyzer = "ik_max_word")
    private String title;//商品名称

    @Field(type = FieldType.Keyword)
    private String category;//分类名称

    @Field(type = FieldType.Double)
    private Double price;//商品价格

    @Field(type = FieldType.Keyword, index = false)
    private String images;//图片地址
}
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# 添加配置类

ElasticsearchRestTemplate是spring-data-elasticsearch项目中的一个类

  • 和其他spring项目中的template类似
  • 基于RestHighLevelClient客户端
  • 需要自定义配置类,继承AbstractElasticsearchConfiguration,实现elasticsearchClient()抽象方法,创建RestHighLevelClient对象
  • 在新版的spring-data-elasticsearch 中,ElasticsearchRestTemplate 代替了原来的ElasticsearchTemplate
    • ElasticsearchTemplate基于TransportClient,TransportClient即将在8.x 以后的版本中移除
    • 推荐使用ElasticsearchRestTemplate
package com.stt.demo;

import lombok.Data;
import org.apache.http.HttpHost;
import org.elasticsearch.client.RestClient;
import org.elasticsearch.client.RestClientBuilder;
import org.elasticsearch.client.RestHighLevelClient;
import org.springframework.boot.context.properties.ConfigurationProperties;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.elasticsearch.config.AbstractElasticsearchConfiguration;

@ConfigurationProperties(prefix = "elasticsearch")
@Configuration
@Data
public class ElasticsearchConfig extends AbstractElasticsearchConfiguration{

    private String host ;
    private Integer port ;
    
    //重写父类方法
    @Override
    public RestHighLevelClient elasticsearchClient() {
        RestClientBuilder builder = RestClient.builder(new HttpHost(host, port));
        RestHighLevelClient restHighLevelClient = new
                RestHighLevelClient(builder);
        return restHighLevelClient;
    }
}
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# 添加DAO 数据访问层对象

package com.stt.demo;

import org.springframework.data.elasticsearch.repository.ElasticsearchRepository;
import org.springframework.stereotype.Repository;

@Repository
public interface ProductDao extends ElasticsearchRepository<Product, Long>{
}
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# 创建索引

package com.stt.demo;

import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.data.elasticsearch.core.ElasticsearchRestTemplate;
import org.springframework.test.context.junit4.SpringRunner;

@RunWith(SpringRunner.class)
@SpringBootTest
public class SpringDataTest01_createIndex {

    //注入 ElasticsearchRestTemplate
    @Autowired
    private ElasticsearchRestTemplate elasticsearchRestTemplate;

    //创建索引并增加映射配置
    @Test
    public void createIndex(){
        //创建索引,系统初始化会自动创建索引
        System.out.println("创建索引");
    }
}
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使用postman查看创建结果

GET http://localhost:9200/product
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response

{
    "product": {
        "aliases": {},
        "mappings": {
            "properties": {
                "_class": {
                    "type": "keyword",
                    "index": false,
                    "doc_values": false
                },
                "category": {
                    "type": "keyword"
                },
                "images": {
                    "type": "keyword",
                    "index": false
                },
                "price": {
                    "type": "double"
                },
                "title": {
                    "type": "text",
                    "analyzer": "ik_max_word"
                }
            }
        },
        "settings": {
            "index": {
                "refresh_interval": "1s",
                "number_of_shards": "3",
                "provided_name": "product",
                "creation_date": "1643985739081",
                "store": {
                    "type": "fs"
                },
                "number_of_replicas": "1",
                "uuid": "UJb63aEFTIWkev6IuyCs9Q",
                "version": {
                    "created": "7080099"
                }
            }
        }
    }
}
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# 删除索引

package com.stt.demo;

import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.data.elasticsearch.core.ElasticsearchRestTemplate;
import org.springframework.test.context.junit4.SpringRunner;

@RunWith(SpringRunner.class)
@SpringBootTest
public class SpringDataTest02_deleteIndex {

    //注入 ElasticsearchRestTemplate
    @Autowired
    private ElasticsearchRestTemplate elasticsearchRestTemplate;

    @Test
    public void deleteIndex(){
        //创建索引,系统初始化会自动创建索引
        boolean flg = elasticsearchRestTemplate.indexOps(Product.class).delete();
        System.out.println("删除索引 = " + flg);
    }
}
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# 新增文档

package com.stt.demo;

import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.test.context.junit4.SpringRunner;

@RunWith(SpringRunner.class)
@SpringBootTest
public class SpringDataTest03_createDoc {

    @Autowired
    private ProductDao productDao;

    /**
     * 新增
     */
    @Test
    public void save(){
        Product product = new Product();
        product.setId(2L);
        product.setTitle("华为手机");
        product.setCategory("手机");
        product.setPrice(2999.0);
        product.setImages("http://www.my-notes.cn/hw.jpg");
        productDao.save(product);
    }
}
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使用postman进行获取

GET http://localhost:9200/product/_doc/2
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response

{
    "_index": "product",
    "_type": "_doc",
    "_id": "2",
    "_version": 1,
    "_seq_no": 0,
    "_primary_term": 1,
    "found": true,
    "_source": {
        "_class": "com.stt.demo.Product",
        "id": 2,
        "title": "华为手机",
        "category": "手机",
        "price": 2999.0,
        "images": "http://www.my-notes.cn/hw.jpg"
    }
}
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# 更新文档

package com.stt.demo;

import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.test.context.junit4.SpringRunner;

@RunWith(SpringRunner.class)
@SpringBootTest
public class SpringDataTest04_updateDoc {

    @Autowired
    private ProductDao productDao;

    //修改
    @Test
    public void update(){
        Product product = new Product();
        product.setId(1L);
        product.setTitle("小米 2 手机");
        product.setCategory("手机");
        product.setPrice(9999.0);
        product.setImages("http://www.my-notes.cn/xm.jpg");
        productDao.save(product);
    }
}
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# 通过id查询文档

package com.stt.demo;

import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.test.context.junit4.SpringRunner;

@RunWith(SpringRunner.class)
@SpringBootTest
public class SpringDataTest05_findDoc {

    @Autowired
    private ProductDao productDao;

    //根据 id 查询
    @Test
    public void findById() {
        Product product = productDao.findById(1L).get();
        System.out.println(product);
    }
}
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返回

Product(id=1, title=小米 2 手机, category=手机, price=9999.0, images=http://www.my-notes.cn/xm.jpg)
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# 查询所有文档

package com.stt.demo;

import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.test.context.junit4.SpringRunner;

@RunWith(SpringRunner.class)
@SpringBootTest
public class SpringDataTest06_findAllDoc {

    @Autowired
    private ProductDao productDao;

    @Test
    public void findAll(){
        Iterable<Product> products = productDao.findAll();
        for (Product product : products) {
            System.out.println(product);
        }
    }
}
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返回

Product(id=2, title=华为手机, category=手机, price=2999.0, images=http://www.my-notes.cn/hw.jpg)
Product(id=1, title=小米 2 手机, category=手机, price=9999.0, images=http://www.my-notes.cn/xm.jpg)
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# 删除文档

package com.stt.demo;

import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.test.context.junit4.SpringRunner;

@RunWith(SpringRunner.class)
@SpringBootTest
public class SpringDataTest07_deleteDoc {

    @Autowired
    private ProductDao productDao;

    //删除
    @Test
    public void delete(){
        Product product = new Product();
        product.setId(1L);
        productDao.delete(product);
    }
}
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# 批量新增文档

package com.stt.demo;

import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.test.context.junit4.SpringRunner;

import java.util.ArrayList;
import java.util.List;

@RunWith(SpringRunner.class)
@SpringBootTest
public class SpringDataTest08_saveAllDoc {

    @Autowired
    private ProductDao productDao;

    //批量新增
    @Test
    public void saveAll(){
        List<Product> productList = new ArrayList<>();
        for (int i = 0; i < 10; i++) {
            Product product = new Product();
            product.setId(Long.valueOf(i));
            product.setTitle("["+i+"]小米手机");
            product.setCategory("手机");
            product.setPrice(1999.0+i);
            product.setImages("http://www.my-notes.cn/xm.jpg");
            productList.add(product);
        }
        productDao.saveAll(productList);
    }
}
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# 分页查询

package com.stt.demo;

import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.data.domain.Page;
import org.springframework.data.domain.PageRequest;
import org.springframework.data.domain.Sort;
import org.springframework.test.context.junit4.SpringRunner;

@RunWith(SpringRunner.class)
@SpringBootTest
public class SpringDataTest09_findPageDoc {

    @Autowired
    private ProductDao productDao;

    //分页查询
    @Test
    public void findByPageable() {
        //设置排序(排序方式,正序还是倒序,排序的 id)
        Sort sort = Sort.by(Sort.Direction.DESC, "id");
        int currentPage = 0;//当前页,第一页从 0 开始,1 表示第二页
        int pageSize = 5;//每页显示多少条
        //设置查询分页
        PageRequest pageRequest = PageRequest.of(currentPage, pageSize, sort);
        //分页查询
        Page<Product> productPage = productDao.findAll(pageRequest);
        for (Product Product : productPage.getContent()) {
            System.out.println(Product);
        }
    }
}
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返回

Product(id=9, title=[9]小米手机, category=手机, price=2008.0, images=http://www.my-notes.cn/xm.jpg)
Product(id=8, title=[8]小米手机, category=手机, price=2007.0, images=http://www.my-notes.cn/xm.jpg)
Product(id=7, title=[7]小米手机, category=手机, price=2006.0, images=http://www.my-notes.cn/xm.jpg)
Product(id=6, title=[6]小米手机, category=手机, price=2005.0, images=http://www.my-notes.cn/xm.jpg)
Product(id=5, title=[5]小米手机, category=手机, price=2004.0, images=http://www.my-notes.cn/xm.jpg)
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Last Updated: 2022/02/05, 15:58:51
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